All Documents
3,528 documents available
π Domain-First Autonomous Data Architecture
Describes a domain-first autonomous data architecture for GenAI that reduces token waste and preserves domain expertise through intent-based discovery and drift detection.
Data Sovereignty Advisor
Defines a compliance advisor agent that enforces data sovereignty, regulatory adherence, and privacy protection for local AI deployments.
Secure MCP Gateway - Complete Project Analysis
Documents a Python security middleware that sits between MCP clients and servers, adding auth, guardrails, caching, and observability.
PII Tokenization Pattern Research Report
Documents a pattern for intercepting PII in MCP clients, tokenizing it before model processing, and untokenizing during tool execution.
index
Promotes Microsoft Presidio for PII detection and redaction, and pitches OctaByte's managed deployment service.
Code Quality Report: Egnyte-LangChain Connector
Audits a LangChain connector's code quality, test coverage, security, and compliance for enterprise deployment readiness.
Konflux DevLake MCP Server - Architecture Documentation
Documents a production-ready MCP server that transforms natural language queries into validated SQL for DevLake databases.
Project Memory
Documents a complete RAG system for Paris cultural events with architecture, requirements, and implementation history across 15 phases.
PROJECT PLAN STARTER PACK - Complete Index
Maps 12 project planning sections with cross-references, fill times, and a two-week implementation workflow for a complete project charter.
Glossar
Defines retrieval, chunking, embedding, search, reranking, synthesis, and evaluation concepts for RAG experiments.
SunCube AI - Comprehensive Documentation
Documents a React/TypeScript EduTech platform's architecture, PostgreSQL migration, and development workflows for CTET exam prep.
Golden Dataset Guidelines
Defines a structured format for a golden dataset used to benchmark, regression test, and compare retrieval-augmented generation systems.
Evaluation of RAG Systems + Presentation Outline
Outlines evaluation strategies for a RAG system and proposes a presentation structure for a project on international student queries.
Cassandra - AI Review Agent
> *The truth about your code. Seeing bugs before the fall of production. Ignore at your own peril.*
LLM Evaluation
Defines a complete LLM evaluation framework covering dataset creation, automated metrics, LLM-as-judge, A/B testing, and CI regression testing.
Domain 5: Testing, Validation, and Troubleshooting
Maps the AIP-C01 exam Domain 5 topics, evaluation systems, metrics, and troubleshooting, into a structured study guide with code examples and exam tips.
After LangGraph node execution, convert messages
Explains how to integrate RAGAS evaluation metrics into a LangGraph RAG pipeline, covering offline and online evaluation strategies.
Data-Driven RAG Evaluation: Testing Qdrant Apps with Relari AI
Explains how to evaluate RAG applications using Qdrant and Relari, covering Top-K parameter tuning and Auto Prompt Optimization with code examples.
Agents and LLMs
Serves as a personal reference notebook covering LLM families, fine-tuning, RAG, agents, evaluation, and applied AI topics.
Project Memory
Documents a production-ready RAG system for Paris cultural events with hybrid search, LLM generation, and Streamlit UI.
π§ Big Picture
Explains why API Gateway non-proxy integration with mapping templates is the correct answer for a GenAI model routing exam question, contrasting it with three incorrect options.
AI Tester Interview Preparation Guide
Prepares candidates for an AI Tester interview focused on LLM, API, and automation testing in the pharmaceutical industry.
RAG Deep Dive Part 7: Evaluation and Debugging RAG Systems
Teaches you to measure and debug a RAG pipeline with retrieval metrics, generation metrics, and production monitoring, all implemented from scratch in Python.
[BEE-30004] Evaluating and Testing LLM Applications
Explains why traditional testing fails for LLMs and gives a practical evaluation strategy combining offline metrics, LLM-as-judge, red-teaming, and production monitoring.